metadata
base_model: xxxxxxxxx
tags:
- generated_from_trainer
datasets:
- AmazonScience/massive
model-index:
- name: massive_indo
results: []
massive_indo
This model is a fine-tuned version of xxxxxxxxx on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 2.1952
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8949 | 2.08 | 100 | 4.8610 |
| 4.5401 | 4.17 | 200 | 4.5439 |
| 4.2447 | 6.25 | 300 | 4.2866 |
| 4.0005 | 8.33 | 400 | 4.0553 |
| 3.7874 | 10.42 | 500 | 3.8500 |
| 3.5807 | 12.5 | 600 | 3.6576 |
| 3.3725 | 14.58 | 700 | 3.4922 |
| 3.1977 | 16.67 | 800 | 3.3297 |
| 3.0234 | 18.75 | 900 | 3.1869 |
| 2.8863 | 20.83 | 1000 | 3.0530 |
| 2.7463 | 22.92 | 1100 | 2.9420 |
| 2.6025 | 25.0 | 1200 | 2.8200 |
| 2.4935 | 27.08 | 1300 | 2.7207 |
| 2.3695 | 29.17 | 1400 | 2.6279 |
| 2.2666 | 31.25 | 1500 | 2.5470 |
| 2.1584 | 33.33 | 1600 | 2.4736 |
| 2.0767 | 35.42 | 1700 | 2.4043 |
| 2.0374 | 37.5 | 1800 | 2.3516 |
| 1.9982 | 39.58 | 1900 | 2.3028 |
| 1.9241 | 41.67 | 2000 | 2.2679 |
| 1.8844 | 43.75 | 2100 | 2.2384 |
| 1.8488 | 45.83 | 2200 | 2.2143 |
| 1.8441 | 47.92 | 2300 | 2.1988 |
| 1.8368 | 50.0 | 2400 | 2.1952 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3